Evidence map›Paper›PMID 30612310›Full record

ArticleInvestigational new drugs2019

Significant differences on submission lag following regulation reform for registration of novel therapeutic drugs in Taiwan.

I-Chen Sun

Abstract read
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In one paragraph

Article in Investigational new drugs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

I-Chen SunDivision of Pharmaceutical Science, Center for Drug Evaluation, Taipei, Taiwan, Republic of China. icsun@cde.org.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug lag, which delays patients' access to medicinal products, is typically associated with pharmaceutical regulations. To shorten drug lag, health authorities may establish new policies to liberalize the regulations, a step that is important in countries, such as Taiwan, with consumer demand for imported novel therapeutic agents. Taiwan's government enacted Articles 38-1 and 38-2 of Regulations for Registration of Medicinal Products to relax the regulatory barriers for new drug submission, thus conditionally exempting the requirement for the Certificate of Pharmaceutical Product (CPP). This study examined whether the enacted regulations reduce submission lag by analyzing the time gap of submission between Taiwan and the United States during 2014-2017. The results indicated that the enacted regulations substantially affected submission lag. Submission lag was significantly shorter for applications not requiring a CPP than those requiring one CPP, which in turn was significantly shorter than those requiring two CPPs. This conclusion can be applied to biological, chemical, non-orphan, and oncology drugs and also applications filed by subsidiary companies, but not orphan drugs and applications filed by contract agents. Among applications requiring one CPP, oncology drugs showed the shortest submission lag. Certain factors, such as clinical studies recruiting over-threshold Taiwanese participants and those performed before the submission of new drug application in the United States, may shorten submission lag. In summary, this study justifies the policy of the exemption from CPP requirements, which supports the hypothesis that relaxing regulatory barriers can reduce submission lag in Taiwan.

Indexed as

Antineoplastic AgentsClinical Trials, Phase III as TopicDrugs, InvestigationalHumansInvestigational New Drug ApplicationNeoplasmsTaiwanTime FactorsAntineoplastic AgentsDrugs, InvestigationalArticle 38–1Article 38–2Certificate of Pharmaceutical ProductClinical studyRegulation reformSubmission lag

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.